Research Engineer, Anthropic
Trust & Safety
$320-560k
More information about location
AI safety and research company
Be an early applicant
AI safety and research company
1001+ employees
Be an early applicant
$320-560k
More information about location
1001+ employees
Company mission
To create reliable, interpretable, and steerable AI systems.
Role
Who you are
- Have 4+ years of experience in a research engineering or an applied research scientist position, preferably with a focus on trust and safety
- Have significant Python programming experience and machine learning experience
- Have proficiency in building trustworthy and safe AI technology
- Have strong communication skills and ability to explain complex technical concepts to non-technical stakeholders
- Care about the societal impacts and long-term implications of your work and are results oriented
Desirable
- Have experience fine-tuning large language models with supervised learning or reinforcement learning
- Have experience with machine learning frameworks like Scikit-Learn, Tensorflow, or Pytorch
- Have experience authoring research papers in machine learning, NLP, or AI alignment or similar industry experience
- Have developed evaluations for language models
What the job involves
- We are looking for Research engineers to help design and build safety and oversight algorithms for our AI models and products
- As a Trust and Safety Research Engineer, you will work to design and train ML models based on research progress, which detect harmful user/model behaviors and help ensure society's well-being
- You will apply your research skills to uphold our principles of safety, transparency, and oversight while enforcing our terms of service and acceptable use policies
- Design, iterate and build ML models to detect unwanted or anomalous behaviors from both users and LLM models
- Work with T&S ML engineers to review and iterate experiment ideations. Co-author the experiment success criteria and production deployment roadmaps
- Partner with T&S Policy and Enforcement cross-functional teams to understand emerging and sustained abuse patterns from user prompts and behaviors. Incorporate the insights into T&S research datasets
- Surface abuse patterns to sibling research teams in the company. Collaborate together to harden Anthropic’s LLMs at the pre/post training stages
- Stay current with state-of-the-art research in AI and machine learning, and propose ways to apply these advancements to T&S systems
Our take
Funded by Google and founded by ex-OpenAI employees, Anthropic is an AI company focused on building a reliable, innovative AI system. While the company is relatively new to the market it has already launched a highly anticipated AI chat assistant called Claude which is set to rival OpenAI's ChatGPT.
Similar to other chatbots, Claude is accessible through a chat interface and can provide a number of conversation and text-processing tasks. A key point of differentiation is that Claude is designed to produce less harmful outputs than that of the other chatbots that came before it.
While there is much praise for the chat assistant, there is still room for improvement with feedback reporting that Claude is worse at maths and grammar compared to its rival. However, with industry giants like Google backing this company from an early stage, it is clear Anthropic has the potential to become a leading player within the AI industry.
Freddie
Company Specialist at Welcome to the Jungle
Insights
Few candidates hear
back within 2 weeks
190% employee growth in 12 months
Glassdoor (4.3)
Trustpilot (2.4)
Company
Funding (last 2 of 10 rounds)
Nov 2024
$4bn
GROWTH EQUITY VC
Jul 2024
$50m
GROWTH EQUITY VC
Total funding: $11.8bn
Company benefits
- Comprehensive health, dental, and vision insurance for you and your dependents
- Inclusive fertility benefits via Carrot Fertility
- Generous subsidy for OneMedical
- 21 weeks of paid parental leave
- Unlimited PTO
- Optional equity donation matching at a 3:1 ratio, up to 50% of your equity grant
- 401(k) plan with 4% matching
- $500/month flexible wellness stipend
- Commuter coverage
- Annual education stipend
- A home office improvement stipend when you first join
- Relocation support for those moving to the Bay Area
Company values
- Here for the mission: We pursue our mission by building frontier systems, studying their behaviors, working to responsibly deploy them, and regularly sharing our safety insights. We collaborate with other projects and stakeholders seeking a similar outcome.
- Unusually high trust: We assume good faith, disagree kindly, and prioritize honesty. We expect emotional maturity and intellectual openness. At its best, our trust enables us to make better decisions as an organization than any one of us could as individuals.
- Do the simple thing that works: We celebrate trying the simple thing before the clever, novel thing. We embrace pragmatism - sensible, practical approaches that acknowledge tradeoffs. We love empiricism - finding out what actually works by trying it - and apply this to our research, our engineering and our collaboration. We aim to be open about what we understand and what we don’t.
- One big team: Collaboration is central to our work, culture, and value proposition. While we have many teams at Anthropic, we feel the broader sense in which we are all on the same team working together towards the mission.
Company HQ
SoMa, San Francisco, CA
Articles
Leadership
Dario Amodei
(CEO & Co-Founder)Spent almost 5 years at OpenAI as a Team Lead for AI safety and as the Vice President of Research. Also worked as a Research Scientist at Google.
Jared Kaplan
(Chief Science Officer & Co-Founder)Has been a Professor at John Hopkins University for the past 10 years. Also an experienced researcher having worked previously at OpenAI and the SLAC National Accelerator Laboratory.
Jack Clark
(Co-Founder)Experienced reporter having worked previously at the Register and Bloomberg. Also worked for OpenAI in Strategy and Communications and as a Policy Director.
Sam McCandlish
(Co-Founder)Graduated from Stanford University with a PhD in Theoretical Physics. Previously worked as a Research Lead at OpenAI.
Tom Brown
(Co-Founder)Previously worked as a Member of the Technical Staff for both OpenAI and Google Brain.
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